Mehdi Khabazian's research while affiliated with Qatar Solar Technologies and other places

... Cyber-physical systems (CPS) encounter a large volume of data which is added to the system gradually in real time and not altogether in advance as for example in emerging mobility systems [1], networked control systems [2,3], mobility markets [4,5], smart power grids [6,7], power systems [8], cooperative cyber-physical networks [9][10][11], social media platforms [12], cooperation of robots [13][14][15], and internet of things [16][17][18]. In such applications, we typically use a model to derive the optimal control strategy of the system. ...

... All these different subsystems of an energy harvesting powered wireless sensor system are inherently multidisciplinary that require research on materials, 228 applied physics, 480 mechanical designs, 481 electronics, 482 and communication technology. 483 While many promising innovations on the individual subsystems of energy harvesting technologies have been achieved, 484 it is still challenging for the subsystems from different domains to operate in synergy when they are integrated into one system. The challenge mainly lies in the mismatches among the different subsystems of energy harvesting technologies, which can be in terms of their coupling and the powers that are related to generation by the energy harvester and demand by the power management circuit and wireless sensors. ...

... Niu et al. present a congestion pricing model to charge media streaming operators based on the bandwidth-delay product on each overlay link [25]. Khabazian et al. study a mechanism by which the femto and macro capacity resources are jointly priced according to a dynamic pricing-based call admission mechanism [26]. Cheung et al. consider the network selection and data offloading problem in an integrated cellular WiFi system by incorporating the practical considerations [27]. ...

... The basis for the selection of Secondary RAT is the knowledge about the cellular network load. As suggested in [24] and [40], the cellular LTE network load is primarily measured in terms of the number of free Physical Resource Blocks (PRBs) that are available to schedule. Fewer PRB available indicates a higher load in the connected cell and vice versa. ...

... Several models have been proposed in the literature. For example, the authors in [8] and [22] modeled the traffic patterns of PUs using an M /G/1 queue model in which arrivals are Markovian, service times have a general distribution, and the packet arrival process is a Poisson random process with average packet arrival rate λ. While [23]- [26] assumed that the activity of a PU follows the Poisson model, however, [27] argued that such a model neglects the short-term fluctuations as well as the bursty and spiky features of the PU activities. ...

... A multicast is reliable if a message M is sent by a peer, then M is eventually received by every peer exactly once. A reliable multicast is one of the essential building blocks of secure network protocols, defense and safety mechanisms and command and control systems [7]. ...

... The authors in [12] analyzed an accurate MAC delay model, which considered the backoff counter decrementing time. Tadayon et al. [13] proposed a service delay model to track the service delay behavior of 802.11 networks. The authors in [14] studied the fair issue of access to the channel by vehicles with different speeds and its impact on the network throughput. ...

... In the literature, there exist various teletraffic models that study call admission control in OFDM networks [23][24][25][26][27][28]. Their main characteristics are the following: (a) the call arrival process is Poisson, (b) one or two service-classes are considered and (c) the performance measures are determined via simulation or via complex analytical methods. ...

... This scenario is valid inside a city where the vehicle moves slowly and more number of fixed base stations are available. But if the vehicle moves with high speed on a highway outside the city, where there is very little or no roadside units, it is not possible to consider the city model of VANET [10]. Hence the requirement to propose a new model for VANET on a highway. ...

... Several practical scenarios such as cellular networks, satellite communications, and vehicle-to-vehicle (V2V) communications have adopted relaying techniques to utilize their potential attributes. In particular, for extracting features like full spatial diversity, improved traffic congestion, safety, etc., the V2V communications and vehicle-toinfrastructure (V2I) communications have incorporated relaying schemes by considering nodes-mobility (NM) into account [8][9][10]. Specifically, authors in [8] have focused on congestion amelioration whereas authors in [9] have proposed architecture to minimize the spectral scarcity and high mobility issues for vehicular communication systems. ...